Work

SU‐F‐R‐52: A Comparison of the Performance of Radiomic Features From Free Breathing and 4DCT Scans in Predicting Disease Recurrence in Lung Cancer SBRT Patients

Year: 2016

Type: article

Study design: Observational Study

Source: Medical Physics

DOI: 10.1118/1.4955823

Authors: E Huynh, T Coroller, V Narayan, V Agrawal, J Romano, I Franco, Y Hou, R Mak, H Aerts

Institutions: Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2467889397

FWCI: 0.29

Cites:

Cited by: 1

Related to: 10